Sentence examples for shared error from inspiring English sources

I call these anxieties entwined because, for me, they come accompanied by a shared error: the overestimation of our rationality and our autonomy.

The choice map identifies two highly competing groups based on similarities on latent attributes and shared error components.

Considering the substitution pattern among severity levels and the shared error structure, four models are proposed and compared the MGP model with or without error components (EMGP and MGP models, respectively) and two nested generalized Poisson models (NGP model).

The CFA result of a model with all indicators indicated that one item of environmental concern construct and the shared error variance between environmental concern and anticipated guilt to be problematic.

However, one source of concern is the possibility of a shared error structure caused by DNA sequencing methods.

However, this criterion was met by Graetz's [ 12] three factor model. * Correlated error term (Hankins, 2008) Model 1 Andrich & van Schoubroeck (1989) Two-factor model Model 2 Graetz (1991) Three-factor model The RMSEA criterion was met by both the GHQ-8 and Hankins' [ 22] unidimensional model with shared error terms, with the former displaying marginally better fit on this criterion.

Figure 4 Percentages of distribution of the different types of shared errors.

By analyzing the shared segmentation errors from all the submitted systems, we conclude that a large percentage of errors was induced either by the presence of a low level of sound in the background (23%) or by the overlapping speech (21%), while the annotator mistakes accounted for only 8% of the total amount of shared errors.

According to the plot in Figure 4, a large percentage of shared errors was provoked by the presence of either a low level of sound in the background (23%) or overlapped speech (21%), while the annotator mistakes caused only 8% of the total amount of shared errors.

In these situations, gene prediction programs are evaluated by comparing the outputs of different programs to each other [17], but this process is at risk of missing shared errors.

Because biases occur, by definition, with systematic or shared errors, sources of shared uncertainty need to be scrutinized carefully.